Triple
T2544050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitts |
E57853
|
entity |
| Predicate | spelling |
P457
|
FINISHED |
| Object | P-i-t-t-s |
E19280
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: P-i-t-t-s | Statement: [Pitts, spelling, P-i-t-t-s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: P-i-t-t-s Context triple: [Pitts, spelling, P-i-t-t-s]
-
A.
Washington, Pennsylvania
Washington, Pennsylvania is a small city in southwestern Pennsylvania known for its historic role in the Whiskey Rebellion and as home to Washington & Jefferson College.
-
B.
Penn
Penn is the stage and given name of Penn Jillette, the outspoken magician, comedian, and half of the famed duo Penn & Teller.
-
C.
Penn
Penn is a private Ivy League research university in Philadelphia known for its strong programs in business, law, medicine, and the liberal arts.
-
D.
Pittsburgh, Pennsylvania
chosen
Pittsburgh, Pennsylvania is a major U.S. city in western Pennsylvania known for its historic steel industry, numerous bridges, and strong educational and technology sectors.
-
E.
PENN
PENN is the stock ticker symbol for PENN Entertainment, a major U.S. gaming and sports-betting company that operates casinos and online wagering platforms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2c10ce88190b242ab3d41878fda |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d073d2c81908c769a99b0942089 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.